Last month, we explored opportunities for better resourcing for the data revolution – and found that calls for greater coordination particularly resonated. Amongst development providers, there’s concern about duplication of efforts – particularly in a political context of decreasing budgets and increasing scrutiny for aid.
This interest in coordination should not be surprising – provider countries have endorsed principles of harmonization as part of the aid effectiveness agenda, signaling this as a core need. However, this apparent lack of coordination is also concerning in that it suggests we have failed to live up to the commitments made in Paris, Accra, and Busan around country ownership and harmonization.
No, and yes. At the last OECD Results Community meeting, participants agreed that country partner frameworks should be at the heart of providers’ priorities. Further, since the launch of the aid effectiveness agenda, partners have noted an increase in appetite from country partner governments to lead cooperation processes. Such work has been facilitated through technological aid information management systems, and through strong country-level sectoral working groups (that are harmonizing, and not extractive).
However, today’s global development landscape poses unique challenges. In particular, heightened scrutiny around public financial management – and increased expectations around accountability for results – can complicate providers’ alignment with country systems.
The network of actors that influence provider agendas and alignment include:
The amount of alignment with country systems – such as national monitoring and evaluation (M&E) or results frameworks, strategies, and data systems – falls on a spectrum:
- Some providers, such as Denmark and Sweden, may align completely with partner government frameworks, in line with aid effectiveness principles;
- Some, such as Belgium and Switzerland may align with partner government frameworks, with the addition of a “menu” of corporate indicators for reporting purposes; and
- Some, such as the US, may have little or no alignment – particularly if implementing partners are civil society organizations.
Reasons for this spectrum vary – but can often be traced back to three key drivers:
1. Public trust and buy-in to international assistance as a principle, versus demands for financial and results-based accountability.
This often depends on provider country context and politics. For example, it has been found that Scandinavians tend to be more supportive of international assistance as a normative good, while other populations may link international assistance with national security or business priorities.
2. Timeliness of partner country data, particularly in fragile states.
Some providers support statistical and administrative data capacity. However, if country system data quality and timeliness are at issue, provider reporting obligations may incentivize third-party data collection.
3. The complex “constellation” of providers and partners within a country.
In addition to civil society partners, there may be multiple government aid agencies operating in-country – complicating provider-national alignment, let alone alignment across different national providers.
How do we address these ongoing coordination challenges? One major step forward would be bringing the results and aid effectiveness agendas into greater harmony, as reinforced by the Sustainable Development Goal 17 call for stronger development partnerships. Within development partners, this goal could be advanced by increasing institutional focus on learning; some partners identified “rebranding” M&E to MEL (monitoring, evaluation, and learning) as an achievable starting point.
But a more challenging – and more rewarding, if successful – approach within development partners would be to bridge the”missing middle” that often exists between corporate and project/program level results data. Further, we could also stand to get more comfortable with the contribution versus attribution debate: specifically, with aid agencies contributing to national development outcomes (and understanding what mechanisms were most effective), rather than aiming to attribute each taxpayer dollar to a specific output.
Being able to better analyze and understand portfolio – sector or country-wide – results, and reducing the primacy of project-level results, can lead to greater coordination, through strengthening and use of country systems to evaluate success.
Thumbnail image: The Global Goals for Sustainable Development
In their second blog exploring Nigeria’s changing fertilizer market, Vinisha Bhatia-Murdach and Scott Wallace dive deep into the details of the NPK fertilizer market and explore how Nigeria became a leader in this space. They also discuss why the VIFAA Nigeria dashboard is an important part of ensuring access to information at each point in fertilizer supply chain.
Many factors must be considered before investing in a data ecosystem for sustainable development, including the objective of the assessment, the focus level, and specific goals for data outputs. IREX’s Jesus Melendez Vicente and DG’s Carmen Cañas would like to share a few insights and questions to help you get started, including a curated list of tools for data ecosystem assessments.
Our Visualizing Insights for Fertilizer in African Agriculture (VIFAA) Program launched an Innovation Fund to address data shortages relating to total crop production. Building on its track record of mapping land cover, Quantitative Engineering Design (QED) was selected to tackle the challenge of mapping Nigeria’s croplands. Through the Innovation Fund, DG and partners will use the resulting data and maps to answer two questions: (a) what is the total cropland under production in Nigeria and (b) what is the cropland under production by crop type.